Experimental Planning Factorial: A brief Review

Abstract

The optimization of experimental relevance parameters can be considered one of the most critical steps in a scientific work according to the chosen model may contribute to a result that does not match the true great. Thus, it is of utmost importance to the observation of the effects of the variables and the interaction between them in a given system, and the multivariate optimization systems, based on factorial design of experiments, a useful and simple alternative, given the need to assess simultaneously the effect of a large number of variables and their interaction between them from a small number of trials. In this paper, we present concepts related to optimization of multivariate procedures with emphasis on experimental design systems experiments and their application in studies of various areas of knowledge, proving its efficiency in the analysis of multivariate systems. Inclusion criteria for articles were: original articles and research on factorial experimental design in common use in laboratories in different fields of research, including studies and pre-installation already installed and in Portuguese, English and Spanish.